Mathematical Modeling Insights into Improving CAR T cell Therapy for Solid Tumors: Antigen Heterogeneity and Bystander Effects
Erdi Kara, T. L. Jackson, Chartese Jones, Reginald L. McGee II,, Rockford Sison

TL;DR
This paper develops a mathematical model to understand how antigen heterogeneity and bystander effects influence the success of CAR T-cell therapy in solid tumors, aiming to improve treatment strategies.
Contribution
It introduces a new mathematical model incorporating antigen heterogeneity and bystander effects, providing insights into enhancing CAR T-cell therapy for solid tumors.
Findings
Bystander effects can significantly improve therapy efficacy.
Antigen heterogeneity reduces CAR T-cell effectiveness.
Strategies to enhance bystander effects increase tumor cell killing.
Abstract
As an adoptive cellular therapy, Chimeric Antigen Receptor T-cell (CAR T-cell) therapy has shown remarkable success in hematological malignancies, but only limited efficacy against solid tumors. Compared with blood cancers, solid tumors present a unique set of challenges that ultimately neutralize the function of CAR T-cells. One such barrier is antigen heterogeneity - variability in the expression of the antigen on tumor cells. Success of CAR T-cell therapy in solid tumors is unlikely unless almost all the tumor cells express the specific antigen that CAR T-cells target. A critical question for solving the heterogeneity problem is whether CAR T therapy induces bystander effects, such as antigen spreading. Antigen spreading occurs when CAR T-cells activate other endogenous antitumor CD8 T cells against antigens that were not originally targeted. In this work, we develop a mathematical…
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Taxonomy
TopicsCAR-T cell therapy research · Viral Infectious Diseases and Gene Expression in Insects · Biosimilars and Bioanalytical Methods
